BoT2L-Net: Appearance-Based Gaze Estimation Using Bottleneck Transformer Block and Two Identical Losses in Unconstrained Environments

BoT2L-Net: Appearance-Based Gaze Estimation Using Bottleneck Transformer Block and Two Identical Losses in Unconstrained Environments

As a nonverbal cue, gaze plays a critical role in communication, expressing emotions and reflecting mental activity. It has widespread applications in various fields. Recently, the appearance-based gaze estimation method, which utilizes CNN (convolutional neural networks), has rapidly improved the a...

Full description

Bibliographic Details
Main Authors: Xiaohan Wang, Jian Zhou, Lin Wang, Yong Yin, Yu Wang, Zhongjun Ding
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
unconstrained gaze estimation
Bottleneck transformer
combined loss function
Online Access:https://www.mdpi.com/2079-9292/12/7/1704

Internet

https://www.mdpi.com/2079-9292/12/7/1704

Similar Items